Medical College of Wisconsin
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Trust in technology-mediated collaborative health encounters: constructing trust in passive user interactions with technologies. Ergonomics 2012;55(7):752-61

Date

04/18/2012

Pubmed ID

22506847

Pubmed Central ID

PMC3711251

DOI

10.1080/00140139.2012.663002

Scopus ID

2-s2.0-84866849526 (requires institutional sign-in at Scopus site)   21 Citations

Abstract

UNLABELLED: The present study investigated factors that explain patient trust in health technology and the relationship between patient trust in technology and trust in their care provider. Sociotechnical systems theory states that changes in one part of the system are likely related to other parts of the system. Therefore, attitudes about technologies, like trust, are likely related to other aspects of the system. Contributing to appropriate trust at the technological, interpersonal, and system levels can potentially lead to positive health outcomes. The study described in this manuscript used data collected from 101 patients with a Trust in Medical Technology instrument. The instrument measured patients' trust in (1) their providers, (2) the technology, and (3) how their providers used the technology. Measure 3 was positively associated with measures 1 and 2, while measures 1 and 2 were not positively or negatively associated with one another. These results may indicate that patient assessments of the trustworthiness of care providers and technologies are based on their observations of how providers use technologies.

PRACTITIONER SUMMARY: Though patients are not active users of technologies in health care, the results of this study show that their perceptions of how providers use technology are related to their trust in both technology and the care provider. Study findings have implications for how trust is conceptualised and measured in interpersonal relationships and in technologies.

Author List

Montague E, Asan O



MESH terms used to index this publication - Major topics in bold

Adult
Biomedical Technology
Cooperative Behavior
Data Collection
Female
Humans
Linear Models
Multivariate Analysis
Obstetrics
Pregnancy
Statistics as Topic
Tape Recording
Trust
User-Computer Interface